Okeke Stephen
Impact in
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- COVID-19 diagnosis using AI
- Radiomics and Machine Learning in Medical Imaging
- Health Informatics top 10%
Papers in
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- Advanced Neural Network Applications 2
- Multimodal Machine Learning Applications 1
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- Speech Recognition and Synthesis 2
- AI in cancer detection 2
- Co-authors
- Mangal Sain (8 shared papers)Do‐Un Jeong (1 shared paper)Samaneh Madanian (2 shared papers)Minh Nguyen (2 shared papers)Ahmed Abdulhakim Al-Absi (1 shared paper)
- Journals
- Sensors (2 papers)Electronics (1 paper)Journal of Healthcare Engineering (2 papers)Intelligent systems reference library (1 paper)
- Partner nations
- South KoreaNew Zealand
In The Last Decade
Okeke Stephen
10 papers receiving 496 citations
Okeke Stephen's Hit Papers
Peers
Comparison fields: 5 of 73
- Radiology, Nuclear Medicine and Imaging 413
- Health Informatics 19
- Health Information Management 32
- Artificial Intelligence 237
- Pulmonary and Respiratory Medicine 130
Countries citing papers authored by Okeke Stephen
This map shows the geographic impact of Okeke Stephen's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Okeke Stephen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Okeke Stephen more than expected).
Fields of papers citing papers by Okeke Stephen
This network shows the impact of papers produced by Okeke Stephen. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Okeke Stephen. The network helps show where Okeke Stephen may publish in the future.
Co-authors
The 5 scholars most cited alongside Okeke Stephen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | An Efficient Deep Learning Approach to Pneumonia Classification in Healthcare Hit paper breakdown → | 2019 | 457 |
| 2 | 2021 | 31 | |
| 3 | 2023 | 15 | |
| 4 | 2022 | 8 | |
| 5 | 2019 | 6 | |
| 6 | 2019 | 6 | |
| 7 | 2022 | 3 | |
| 8 | 2019 | 2 | |
| 9 | Real-Time Infant-at-Risk Detection and Tracking using Faster RCNN-Based Convolution Neural Network | 2019 | 1 |
| 10 | 2020 | 1 |
About Okeke Stephen
Okeke Stephen is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Industrial and Manufacturing Engineering, Civil and Structural Engineering and Signal Processing, having authored 10 papers that have together received 530 indexed citations. Recurring topics across this work include Industrial Vision Systems and Defect Detection (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Infrastructure Maintenance and Monitoring (2 papers), Speech Recognition and Synthesis (2 papers), AI in cancer detection (2 papers), Advanced Neural Network Applications (2 papers), Speech and Audio Processing (2 papers) and Multimodal Machine Learning Applications (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (413 citations), Health Informatics (19 citations), Health Information Management (32 citations), Artificial Intelligence (237 citations) and Pulmonary and Respiratory Medicine (130 citations). Okeke Stephen has collaborated with scholars based in South Korea and New Zealand. Frequent co-authors include Mangal Sain, Do‐Un Jeong, Samaneh Madanian, Minh Nguyen and Ahmed Abdulhakim Al-Absi. Their work appears in journals such as Sensors, Electronics, Journal of Healthcare Engineering and Intelligent systems reference library.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.